Applied multivariate statistics with R [electronic resource] / Daniel Zelterman.

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Applied multivariate statistics with R [electronic resource] / Daniel Zelterman.

9783319140933 electronic book
3319140930 electronic book
9783319140926

Cham : Springer, [2015]

©2015

English

1 online resource

10.1007/978-3-319-14093-3 doi

QA278

519.535

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate and multivariate normal distributions, factor methods, linear regression, discrimination and classification, clustering, time series models, and additional methods. Zelterman uses practical examples from diverse disciplines to welcome readers from a variety of academic specialties. Those with backgrounds in statistics will learn new methods while they review more familiar topics. Chapters include exercises, real data sets, and R implementations. The data are interesting, real-world topics, particularly from health and biology-related contexts. As an example of the approach, the text examines a sample from the Behavior Risk Factor Surveillance System, discussing both the shortcomings of the data as well as useful analyses. The text avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.℗ℓ.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (viewed August 5, 2015)

Statistics for biology and health.

Print version: 9783319140926

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